Revolutionizing semantic integration of maintenance cost prediction for building systems using artificial neural networks-Reference-Cited by-同舟云学术

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Revolutionizing semantic integration of maintenance cost prediction for building systems using artificial neural networks

Published:2024-11 Issue: Volume:96 Page:110416
ISSN:2352-7102
Container-title:Journal of Building Engineering
language:en
Short-container-title:Journal of Building Engineering

Author:

Gouda Mohamed Ahmed^ORCID,Ghaly Joseph Ehab^ORCID,Marzouk Mohamed^ORCID

Publisher

Elsevier BV

Reference52 articles.

1. Application of deep learning in facility management and maintenance for heating, ventilation, and air conditioning;Sanzana;Autom. ConStruct.,2022

2. Integration of IFC objects and facility management work information using Semantic Web;Kim;Autom. ConStruct.,2018

3. Application of semantic Web ontologies for the improvement of information exchange in existing buildings;Sadeghineko;Construct. Innovat.,2022

4. Indoor air quality for sustainable building renovation: a decision-support assessment system using structural equation modelling;Ismaeel;Build. Environ.,2022

5. Assessment framework for BIM-digital twin readiness in the construction industry;Alnaser;Buildings,2024

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